Pragnesh Tanniru
@pragneshtanniru
I'm building agentic AI and LLM applications for financial analysis, retrieval, and multilingual translation.
What I'm looking for
I'm building an AI-powered investment analysis model by fine-tuning Qwen3-4B-Base with LoRA and QLoRA for long-term financial reasoning. I created the training dataset from trading and investment books and am developing a predict-verify-act workflow that checks outputs against real data.
I've also built a LangChain-based RAG backend for document ingestion, chunking, retrieval, and LLM context generation, plus a multilingual lyrics translator using an agentic development workflow. My focus is on agentic AI, autonomous systems, ML prediction and decision systems, and LLM applications.
Experience
Work history, roles, and key accomplishments
AI-Powered Investment Analysis Model
Personal Project
Fine-tuned a Qwen3-4B-Base model using LoRA and QLoRA to generate long-term investment analysis, adapting a general-purpose LLM to a specialized financial reasoning task. Independently built the training dataset by extracting and structuring content from trading and investment books, covering data cleaning, formatting, and instruction-style curation.
Education
Degrees, certifications, and relevant coursework
Chaitanya (Deemed to be University)
Bachelor of Technology, Computer Science & Engineering
Grade: 9.4 CGPA
Pursuing a B.Tech in Computer Science and Engineering with a current CGPA of 9.4.
Availability
Location
Authorized to work in
Portfolio
github.com/tannirupragnesh8-boopJob categories
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